Approximate ML Decision-Feedback Block Equalizer for Doubly Selective Fading Channels [PDF]
In order to effetively suppress intersymbol interference (ISI) at low complexity, we propose in this paper an approximate maximum likelihood (ML) decision feedback block equalizer (A-ML-DFBE) for doubly selective (frequency-selective, time-selective) fading channels.
Song, Lingyang +3 more
openaire +2 more sources
In this paper, a comparison between the improved element-free Galerkin (IEFG) method, based on the improved moving least square (IMLS) approximation, and the element-free Galerkin (EFG) method, based on the moving least square (MLS) approximation, is ...
Imen Debbabi +2 more
doaj +1 more source
Approximation Algorithms for Maximum Link Scheduling under SINR-Based Interference Model
A fundamental problem in wireless networks is the maximum link scheduling (MLS) problem. In this problem, interference is a key issue and past researchers have shown that determining reception using Signal-to-Interference plus Noise Ratio (SINR) is more ...
Zi-Ao Zhou, Chang-Geng Li
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A Strong Form Meshless Method for the Solution of FGM Plates
Laminated composite structures suffer from failure because of concentrations of gradient fields on interfaces due to discontinuity of material properties.
Ladislav Sator +2 more
doaj +1 more source
Meshless Modelling of Laminate Mindlin Plates under Dynamic Loads
Collocation method and Galerkin method have been dominant in the existing meshless methods. A meshless local Petrov-Galerkin (MLPG) method is applied to solve laminate plate problems described by the Reissner-Mindlin theory for transient dynamic loads ...
Milan Zmindak, Daniel Riecky
doaj +1 more source
Surrogate modeling approximation using a mixture of experts based on EM joint estimation [PDF]
An automatic method to combine several local surrogate models is presented. This method is intended to build accurate and smooth approximation of discontinuous functions that are to be used in structural optimization problems.
Bartoli, Nathalie +4 more
core +3 more sources
ML-Assisted Resource Allocation Outage Probability: Simple, Closed-Form Approximations
In this paper, we establish simple and efficient approximations for the outage probability of a single-user multi-resource allocation system that consists of a machine learning (ML) based outage predictor whose task is to assign resources to the user while minimizing outages. We begin by presenting the outage probability expressions for this system. We
Raina, Rashika +3 more
openaire +2 more sources
Application of moving kriging interpolation based on the meshless local Petrov-Galerkin (MK-MLPG) method for the two-dimensional time-dependent Schrodinger equation [PDF]
In this article, an efficient numerical technique for solving the two-dimensional time-dependent Schrodinger equation is presented. At first, we employ the meshlesslocal Petrov-Galerkin (MLPG) method based on a local weak formulation to ...
Esmail Hesameddini, Ali Habibirad
doaj +1 more source
Trajectory Mapping and Applications to Data from the Upper Atmosphere Research Satellite [PDF]
The problem of creating synoptic maps from asynoptically gathered trace gas data has prompted the development of a number of schemes. Most notable among these schemes are the Kalman filter, the Salby-Fourier technique, and constituent reconstruction ...
Elson, Lee +10 more
core +3 more sources
A Modification of the Moving Least-Squares Approximation in the Element-Free Galerkin Method
The element-free Galerkin (EFG) method is one of the widely used meshfree methods for solving partial differential equations. In the EFG method, shape functions are derived from a moving least-squares (MLS) approximation, which involves the inversion of ...
Yang Cao, Jun-Liang Dong, Lin-Quan Yao
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